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, Raman spectroscopy, ultraviolet-visible spectroscopy – UV-Vis), as well as optical, electrical, and photoluminescence measurements, including Physical Properties Measurement System (PPMS). Activities also
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qualifications: a) PhD degree completed in Nutrition, Food Science, or a related field; b) Proven experience with Eye-Tracking studies, including proficiency with the Experiment Builder software. This experience
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using Quantum optics/Atomic Physics/Integrated Photonics From Dec/04/2025 to Jan/16/2026, we are accepting applications for a post-doctoral fellowship, funded by the São Paulo Research Foundation (FAPESP
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machine learning (ML) algorithms to identify previously unknown correlations between synthesis parameters (inputs) and optical, electronic and chemical properties (outputs), such as quantum yield, light
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for evaluating platelet function (especially point of care; techniques like electrical bioimpedance and optical aggregometry); assembling and handling databases (Excel and/or RedCap); basic knowledge of statistics
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multifunctional characterization. The candidate should correlate high-resolution morphological and electrostatic data (obtained by AFM, KPFM, and SKPM) with electrical and optical measurements in complete devices
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) immunohistochemistry; b) RT-qPCR, western blot; c) bright-field and fluorescence optical microscopy. d) good knowledge of neuroendocrinology and neuroscience. e) knowledge of neuroanatomy 3) Commitment to research
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strong expertise in quantum computing, quantum algorithms, and physical simulations, including: - Quantum optimization (preferably Quantum Walk-based methods) - Quantum simulation (cold-atom/quantum-optics
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. The successful candidate must have: 1) Experience in the field of instrumental neutron activation analysis; 2) Experience in analytical techniques such as inductively coupled plasma optical emission spectrometry
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State University (UNESP) in São José dos Campos, Brazil. The researcher will develop innovative methodologies for flood risk analysis, focusing on the integration of multi-source data, including optical